Another Crazy Day in AI: How DeepMind Plans to Keep AGI in Check
- Wowza Team
- Apr 4
- 3 min read
Hello, AI Enthusiasts.
Before you switch to weekend mode, here’s a quick AI rundown:
DeepMind is getting serious about AGI safety. In a new paper, their top researchers explore the future of human-level AI—and how we might avoid its biggest pitfalls. Think: solving diseases vs. losing control over machines. Heavy stuff, but important reads.
Meanwhile, AI agents could soon be weaponized—cybersecurity experts are already tracking their early moves.
In a creative twist, Stanford brought filmmakers and AI researchers together to explore how narratives influence our understanding of artificial intelligence.
Now, kick back and relax—you’ve earned it!
Here's another crazy day in AI:
The blueprint for responsible AGI
Is the future of hacking agentic too?
Stanford workshop on AI and storytelling
Some AI tools to try out
TODAY'S FEATURED ITEM: Google DeepMind’s AGI Plan
Image Credit: Wowza (created with Ideogram)
What happens when general-purpose AI reaches a level of capability that rivals—or even surpasses—our own?
In a new paper An Approach to Technical AGI Safety and Security, a team from Google DeepMind—including Anca Dragan, Rohin Shah, Four Flynn, and Shane Legg—shares their latest thinking on how to responsibly navigate the development of artificial general intelligence (AGI), a kind of AI that could match or exceed human cognitive abilities across most tasks. This piece outlines the risks AGI presents and the robust systems DeepMind is building to manage those risks.
The authors explore the balance between optimism for AGI’s benefits and deep caution about its potential harms. From improved diagnostics and personalized learning to cybersecurity and misalignment with human values, they break down where things could go wrong—and what they’re doing to make sure they don’t.
A few things they’re working on:
Mapping out four central risk areas: misuse, misalignment, accidents, and broader societal impacts
Building technical safeguards like access restrictions and scenario simulations
Refining training methods that include human feedback and uncertainty-aware behavior
Investing in interpretability tools (such as MONA) to understand how AI systems reach their decisions
Conducting regular safety evaluations and inviting independent input
Stress-testing systems early and often to adapt as the technology evolves
The paper doesn’t offer a silver bullet—and it doesn’t try to. Instead, it lays out a living framework that’s meant to grow and shift alongside the development of AGI itself. The goal is not just to anticipate what might go wrong, but to put systems in place that are capable of responding when the unexpected does happen.
For those tracking how AGI is being shaped behind the scenes, this paper provides a window into how one of the leading research labs is thinking about responsibility at scale. It doesn’t shy away from the complexity of the challenge, nor does it overstate what’s been solved. It simply asks: how do we build with care, when the stakes are this high?
Read the full article here.
Read the full paper here.
OTHER INTERESTING AI HIGHLIGHTS:
Is the Future of Hacking Agentic Too?
/Rhiannon Williams on MIT Technology Review
AI agents are becoming smarter and more autonomous—and cybersecurity experts warn that they might soon be used to conduct cyberattacks at scale. Unlike basic bots, agents can adapt, plan, and execute attacks with alarming efficiency, posing a serious threat to digital infrastructure. A project called LLM Agent Honeypot is already working to track these AI-driven intrusions in real time. Researchers say it's only a matter of time before cybercriminals start relying on agents for hacking—and we need to be ready before it happens.
Read more here.
Stanford Workshop on AI and Storytelling
/Dylan Walsh on Stanford HAI News
What happens when filmmakers and AI researchers work together to tell stories about artificial intelligence? A workshop at Stanford’s HAI brought both groups together to explore how narratives shape public understanding—and policy—around AI. Participants like filmmaker Sophie Barthes and researcher John Thickstun shared how blending academic ideas with storytelling revealed just how hard (and important) it is to make complex tech human, accessible, and emotionally compelling. The initiative is a unique reminder that how we talk about AI may shape how we use it.
Read more here.
SOME AI TOOLS TO TRY OUT:
Beautiful AI – Instantly design stunning presentations with AI.
Cove Apps – A visual workspace where you can build custom AI-powered interfaces.
ElevenLabs – Just launched a text-to-bark model for dogs.
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
EXCITING NEWS:
The Another Crazy Day in AI newsletter is on LinkedIn!!!
Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.
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